SH
Price
$31.83
Change
+$0.01 (+0.03%)
Updated
Oct 13 closing price
Net Assets
962.13M
Intraday BUY SELL Signals
SPXU
Price
$32.91
Change
+$0.01 (+0.03%)
Updated
Oct 13 closing price
Net Assets
422.01M
Intraday BUY SELL Signals
SRTY
Price
$27.18
Change
+$0.34 (+1.27%)
Updated
Oct 13 closing price
Net Assets
70.95M
Intraday BUY SELL Signals
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SH or SPXU or SRTY

SH vs SPXU vs SRTY Comparison Chart in %
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A.I.Advisor
Sep 25, 2026

Which ETF would AI Choose? ProShares Short S&P500 (SH) vs. ProShares UltraPro Short S&P500 (SPXU) vs. ProShares UltraPro Short Russell2000 (SRTY)

Key Takeaways

  • SH, SPXU, and SRTY are all ProShares inverse ETFs designed for daily performance targets rather than long-term holding, using derivatives such as swaps for exposure.
  • SH targets -1x the daily performance of the S&P 500 Index with a net expense ratio of 0.89%, offering moderate inverse exposure to large-cap U.S. equities.
  • SPXU seeks -3x daily inverse performance of the same S&P 500 Index at a net expense ratio of 0.90%, amplifying both gains and losses compared to SH.
  • SRTY delivers -3x daily inverse results of the Russell 2000 Index at a net expense ratio of 0.95%, providing leveraged exposure to small-cap U.S. stocks instead of large caps.
  • Structural differences in leverage and index focus create distinct risk profiles, with leveraged products like SPXU and SRTY exhibiting higher volatility due to daily resets and compounding effects.
  • Cost efficiency favors SH slightly on expenses, while diversification is limited across all three as they rely primarily on derivatives and short-term instruments rather than individual stock holdings.

Introduction

Investors seeking tools to hedge equity exposure or express bearish views often compare inverse exchange-traded funds (ETFs). SH, SPXU, and SRTY represent tiered risk exposures within the inverse equity category. They do not track similar indexes in the same manner: SH and SPXU focus on the large-cap S&P 500, while SRTY targets the small-cap Russell 2000. These funds offer different leverage levels and strategic approaches to downside protection, making them relevant for tactical positioning amid broader market uncertainty.

ProShares Short S&P500 (SH) Overview

SH seeks daily investment results, before fees and expenses, that correspond to the inverse (-1x) of the daily performance of the S&P 500 Index. The fund typically holds a small number of holdings, primarily U.S. Treasury bills and swap agreements to achieve its objective. It does not maintain a traditional portfolio of individual equities. The net expense ratio stands at 0.89%. As a passive, inverse product, SH resets daily and is structured for short-term use rather than buy-and-hold strategies. Its design emphasizes convenience for hedging large-cap U.S. equity risk through a single ticker.

ProShares UltraPro Short S&P500 (SPXU) Overview

SPXU aims for daily investment results, before fees and expenses, that correspond to three times the inverse (-3x) of the daily performance of the S&P 500 Index. Like SH, it relies on derivatives including swaps and short-term instruments rather than direct stock ownership, resulting in a limited number of holdings. The net expense ratio is 0.90%. This leveraged inverse structure amplifies daily moves in the underlying index. SPXU operates as a passive product with daily resets, suited for investors seeking heightened sensitivity to large-cap declines within a single trading day.

ProShares UltraPro Short Russell2000 (SRTY) Overview

SRTY targets daily investment results, before fees and expenses, that correspond to three times the inverse (-3x) of the daily performance of the Russell 2000 Index. The fund uses swaps and Treasury instruments to implement its strategy, maintaining a compact set of holdings. Its net expense ratio is 0.95%. SRTY provides leveraged inverse exposure specifically to small-cap U.S. equities. As a passive, daily-reset vehicle, it differs from the S&P 500-focused peers by emphasizing the higher volatility inherent in smaller companies.

Industry and Thematic Landscape

The broader U.S. equity market environment influences all three ETFs through macroeconomic factors such as interest rate policies, inflation trends, and corporate earnings across large- and small-cap segments. Capital flows into or out of equities can shift based on regulatory developments and geopolitical events. Small-cap indices like the Russell 2000 often react more sharply to domestic economic data than large-cap benchmarks. Sector risks vary, with technology and financials prominent in large caps and industrials or consumer discretionary more relevant in small caps. These external drivers shape the demand for inverse products as hedging tools during periods of elevated uncertainty.

Performance and Positioning Comparison

In recent market cycles, structural differences have driven distinct behaviors. SH has delivered more moderate inverse moves aligned with S&P 500 daily changes, resulting in lower volatility relative to its leveraged counterparts. SPXU has exhibited amplified responses to the same index due to its -3x target, leading to greater drawdowns or gains over multi-day periods from compounding. SRTY has shown heightened sensitivity tied to small-cap dynamics, often displaying wider swings than the S&P 500-based funds. Trend consistency varies with the underlying index performance, while concentration risk remains low across holdings but high in index-specific exposure. These patterns stem directly from leverage levels and the large-cap versus small-cap focus.

AI Screener

Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening.

Tickeron AI Verdict

Based on observable structural characteristics, Tickeron’s AI would likely assign a modest probabilistic preference to SH in the current environment. Its lower leverage and expense ratio support more stable risk-adjusted positioning for inverse large-cap exposure compared with the higher-volatility profiles of SPXU and SRTY. Diversification depth and cost efficiency tilt the assessment toward measured inverse strategies over amplified ones when evaluating long-term structural resilience.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

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SUMMARIES
TECHNICAL ANALYSIS
Technical Analysis
SHSPXUSRTY
RSI
ODDS (%)
N/A
N/A
Bearish Trend 1 day ago
90%
Stochastic
ODDS (%)
Bullish Trend 1 day ago
71%
Bullish Trend 1 day ago
87%
Bearish Trend 1 day ago
90%
Momentum
ODDS (%)
Bearish Trend 1 day ago
76%
Bearish Trend 1 day ago
90%
N/A
MACD
ODDS (%)
Bearish Trend 1 day ago
84%
Bearish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
TrendWeek
ODDS (%)
Bullish Trend 1 day ago
77%
Bullish Trend 1 day ago
86%
Bullish Trend 1 day ago
90%
TrendMonth
ODDS (%)
Bearish Trend 1 day ago
80%
Bearish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
Advances
ODDS (%)
Bullish Trend 1 day ago
76%
Bullish Trend 1 day ago
86%
Bullish Trend 1 day ago
90%
Declines
ODDS (%)
Bearish Trend 8 days ago
79%
Bearish Trend 8 days ago
90%
Bearish Trend 9 days ago
90%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
76%
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
90%
Aroon
ODDS (%)
Bullish Trend 1 day ago
65%
Bullish Trend 1 day ago
82%
Bullish Trend 1 day ago
90%